Computer Science and Information Systems
The international journal published by ComSIS Consortium 

Data Mining Techniques Based on Grey System Theories for Time Sequence Data
 

UDC 004.832.2

Liu Bin1,2, Zhang Hui1,Liu Sifeng2 and Dang Yaoguo2


1College of Information and Management Science Henan Agricultural University, Zhengzhou, 450002 China 2College of Economics and Management Nanjing University of Aeronautics and Astronautics, Nanjing, 210016 China Liubhnau@163.com, Sfliu@nuaa.edu.cn, Iamdangyg@163.com

 

Abstract. Data mining is an interesting focus in computer science field now. This paper deals with data mining techniques based on Grey system theories for time sequence data. Firstly, thoughts of data mining with embedded knowledge are expatiated, and the status quo of Data mining techniques is presented briefly. Then, based on the above thoughts and the Grey system theories, data mining techniques based on Grey system theories for time sequence data are proposed for the first time, and the idiographic arithmetic with GM(1,1) as an example is introduced in this paper. Last, it forecasts the total homes in 2002~2005 connecting with Internet in ShangHai City by the arithmetic.


Volume 03 , Issue 02 (December 2006) table of contents
Year of Publication: 2006
ISSN:
Publisher ComSIS Consortium
Full text available: Pdf
 
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